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A. Our Objective The objective of this project is to design, simulate, and analyze a basic digital communication system using MATLAB. This experience will introduce you to the practical aspects of system design, including modulation, channel effects, demodulation, and error correction techniques. B. Course Learning Outcomes (CLO) covered At the end of this assessment, students are able to: CLO3: To design a communication system of a certain type to generate a signal with preset power and spectral specifications using MATLAB software C. Project Description: In this project, you are required to create a digital communication system that transmits a text message (or binary data) from a transmitter to a receiver through a simulated channel. The project is structured into several key steps: Step 1: Step 2: You have to implement a chosen digital modulation scheme (such as BPSK, QPSK, or 16- QAM) to modulate the input data. Then, analyze the modulated signal in terms of its spectrum and power efficiency. The step refers to Modulation Simulate a communication channel that introduces specific impairments such as noise (AWGN), fading (e.g., Rayleigh fading), and path loss. Model these effects in MATLAB and analyze their impact on the transmitted signal. The step here related to channel modeling 2/4 KARABUK UNIVERSITY Step 3: Step 4: Step 5: Implement the corresponding demodulation scheme to recover the transmitted data. This phase also involves the implementation of a detection algorithm to estimate the transmitted symbols from the received signal. This step refers to demodulation and detection Apply error correction codes (ECC) to enhance the reliability of the communication system. Choose between block codes (e.g., Reed-Solomon) or convolutional codes, implementing encoding at the transmitter and decoding at the receiver. Step 4 refers to error correction Analyze the performance of your communication system by calculating the bit error rate (BER) as a function of the signal-to-noise ratio (SNR). Compare the effects of different channel impairments and the effectiveness of your chosen error correction code. Step 5 related to performance analysis

A. Our Objective The objective of this project is to design, simulate, and analyze a basic digital communication system using MATLAB. This experience will introduce you to the practical aspects of system design, including modulation, channel effects, demodulation, and error correction techniques. B. Course Learning Outcomes (CLO) covered At the end of this assessment, students are able to: CLO3: To design a communication system of a certain type to generate a signal with preset power and spectral specifications using MATLAB software C. Project Description: In this project, you are required to create a digital communication system that transmits a text message (or binary data) from a transmitter to a receiver through a simulated channel. The project is structured into several key steps: Step 1: Step 2: You have to implement a chosen digital modulation scheme (such as BPSK, QPSK, or 16- QAM) to modulate the input data. Then, analyze the modulated signal in terms of its spectrum and power efficiency. The step refers to Modulation Simulate a communication channel that introduces specific impairments such as noise (AWGN), fading (e.g., Rayleigh fading), and path loss. Model these effects in MATLAB and analyze their impact on the transmitted signal. The step here related to channel modeling 2/4 KARABUK UNIVERSITY Step 3: Step 4: Step 5: Implement the corresponding demodulation scheme to recover the transmitted data. This phase also involves the implementation of a detection algorithm to estimate the transmitted symbols from the received signal. This step refers to demodulation and detection Apply error correction codes (ECC) to enhance the reliability of the communication system. Choose between block codes (e.g., Reed-Solomon) or convolutional codes, implementing encoding at the transmitter and decoding at the receiver. Step 4 refers to error correction Analyze the performance of your communication system by calculating the bit error rate (BER) as a function of the signal-to-noise ratio (SNR). Compare the effects of different channel impairments and the effectiveness of your chosen error correction code. Step 5 related to performance analysis

Introductory Circuit Analysis (13th Edition)
Introductory Circuit Analysis (13th Edition)
13th Edition
ISBN:9780133923605
Author:Robert L. Boylestad
Publisher:Robert L. Boylestad
Chapter1: Introduction
Section: Chapter Questions
Problem 1P: Visit your local library (at school or home) and describe the extent to which it provides literature...
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Communication system assignment
A. Our Objective The objective of this project is to design, simulate, and analyze a basic digital communication system using MATLAB. This experience will introduce you to the practical aspects of system design, including modulation, channel effects, demodulation, and error correction techniques. B. Course Learning Outcomes (CLO) covered At the end of this assessment, students are able to: CLO3: To design a communication system of a certain type to generate a signal with preset power and spectral specifications using MATLAB software C. Project Description: In this project, you are required to create a digital communication system that transmits a text message (or binary data) from a transmitter to a receiver through a simulated channel. The project is structured into several key steps: Step 1: Step 2: You have to implement a chosen digital modulation scheme (such as BPSK, QPSK, or 16- QAM) to modulate the input data. Then, analyze the modulated signal in terms of its spectrum and power efficiency. The step refers to Modulation Simulate a communication channel that introduces specific impairments such as noise (AWGN), fading (e.g., Rayleigh fading), and path loss. Model these effects in MATLAB and analyze their impact on the transmitted signal. The step here related to channel modeling 2/4 KARABUK UNIVERSITY Step 3: Step 4: Step 5: Implement the corresponding demodulation scheme to recover the transmitted data. This phase also involves the implementation of a detection algorithm to estimate the transmitted symbols from the received signal. This step refers to demodulation and detection Apply error correction codes (ECC) to enhance the reliability of the communication system. Choose between block codes (e.g., Reed-Solomon) or convolutional codes, implementing encoding at the transmitter and decoding at the receiver. Step 4 refers to error correction Analyze the performance of your communication system by calculating the bit error rate (BER) as a function of the signal-to-noise ratio (SNR). Compare the effects of different channel impairments and the effectiveness of your chosen error correction code. Step 5 related to performance analysis
Transcribed Image Text:A. Our Objective The objective of this project is to design, simulate, and analyze a basic digital communication system using MATLAB. This experience will introduce you to the practical aspects of system design, including modulation, channel effects, demodulation, and error correction techniques. B. Course Learning Outcomes (CLO) covered At the end of this assessment, students are able to: CLO3: To design a communication system of a certain type to generate a signal with preset power and spectral specifications using MATLAB software C. Project Description: In this project, you are required to create a digital communication system that transmits a text message (or binary data) from a transmitter to a receiver through a simulated channel. The project is structured into several key steps: Step 1: Step 2: You have to implement a chosen digital modulation scheme (such as BPSK, QPSK, or 16- QAM) to modulate the input data. Then, analyze the modulated signal in terms of its spectrum and power efficiency. The step refers to Modulation Simulate a communication channel that introduces specific impairments such as noise (AWGN), fading (e.g., Rayleigh fading), and path loss. Model these effects in MATLAB and analyze their impact on the transmitted signal. The step here related to channel modeling 2/4 KARABUK UNIVERSITY Step 3: Step 4: Step 5: Implement the corresponding demodulation scheme to recover the transmitted data. This phase also involves the implementation of a detection algorithm to estimate the transmitted symbols from the received signal. This step refers to demodulation and detection Apply error correction codes (ECC) to enhance the reliability of the communication system. Choose between block codes (e.g., Reed-Solomon) or convolutional codes, implementing encoding at the transmitter and decoding at the receiver. Step 4 refers to error correction Analyze the performance of your communication system by calculating the bit error rate (BER) as a function of the signal-to-noise ratio (SNR). Compare the effects of different channel impairments and the effectiveness of your chosen error correction code. Step 5 related to performance analysis
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